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x-agent-resources

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UpdatedJune 9, 2026 at 16:51

Integration and usage of official X Developer Platform agent resources (llms.txt, skill.md, MCP/XMCP, xurl, OpenAPI) for accurate, composable X access in agentic apps. Use when building search, analysis, posting, or any X interaction. Ensures llms/skill ground prompts, MCP exposes tools, xurl provides CLI UX. Fission for implementation; fusion for unifying with finder-reactor and agentic design.

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p10ns11y

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Software DevelopersComputer and Mathematical Occupations·SOC 15-1252

SKILL.md

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name	x-agent-resources
description	Integration and usage of official X Developer Platform agent resources (llms.txt, skill.md, MCP/XMCP, xurl, OpenAPI) for accurate, composable X access in agentic apps. Use when building search, analysis, posting, or any X interaction. Ensures llms/skill ground prompts, MCP exposes tools, xurl provides CLI UX. Fission for implementation; fusion for unifying with finder-reactor and agentic design.

X Agent Resources — Official Primitives for X-Powered Agents

Core Mission: Make every X interaction correct, efficient, and agent-composable by treating official X agent resources as first-class citizens.

Key Resources (Always Reference Fresh or Cached)

llms.txt / llms-full.txt (https://docs.x.com/llms.txt): Structured index + full Markdown docs for LLMs.
skill.md (https://docs.x.com/skill.md): agentskills.io spec — capabilities, actions, params, constraints, workflows.
MCP Servers: XMCP (200+ endpoints as tools); Docs MCP.
xurl (https://github.com/xdevplatform/xurl): Official CLI with auto-auth and agent SKILL.md.
OpenAPI: https://api.x.com/2/openapi.json

Agent read order (mandatory for X work)

Vendored snapshot in your project (e.g. .agents/x-resources/skill.md) — read first.
This skill — integration patterns for your app.
Live https://docs.x.com/... if behavior disagrees with snapshot — refresh vendored copy.

Integration Principles

Ingest for Intelligence: LLM calls include relevant excerpts from X skill.md + llms context.
MCP for Composability: Expose app functions (search, analyze, prep, promote) as MCP tools; use XMCP for direct X ops when richer than a custom client.
xurl for UX & Fallback: Shell to xurl for ad-hoc or as reference implementation.
Follow the Spec: Publish your own SKILL.md compatible with agentskills.io.
Self-Guards Apply: MCP tool calls respect the same guards/pauses as the UI.

Implementation Patterns

At startup / refresh: Load vendored X resources; copy to app data in production if needed.
Backend client: Validate/build queries using skill.md knowledge; prefix prompts with current capabilities excerpt.
MCP Server: Tools like search_x_opportunities, analyze_and_decide, generate_prep_with_guards, promote_with_preview.
UI: Command palette maps 1:1 to MCP tools.
Prompt library: Central file combining X skill + CV packet + app state.
Testing: bdd-strategizer for guard scenarios (429, low rate, pause).

Guardrails

Never assume X API behavior not in current skill.md/llms.
Writes (posts, DMs): always guard + user pause.
Rate limits: surface from headers; backoff in reactor.
Auth: secure OS keyring or encrypted store — never hardcode tokens.

finder-reactor, tauri-agentic, ai-optimization, fusion-sage.

Official: https://docs.x.com/tools/ai

Example provenance: collab-finder.

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name	x-agent-resources
description	Integration and usage of official X Developer Platform agent resources (llms.txt, skill.md, MCP/XMCP, xurl, OpenAPI) for accurate, composable X access in agentic apps. Use when building search, analysis, posting, or any X interaction. Ensures llms/skill ground prompts, MCP exposes tools, xurl provides CLI UX. Fission for implementation; fusion for unifying with finder-reactor and agentic design.

X Agent Resources — Official Primitives for X-Powered Agents

Core Mission: Make every X interaction correct, efficient, and agent-composable by treating official X agent resources as first-class citizens.

Key Resources (Always Reference Fresh or Cached)

llms.txt / llms-full.txt (https://docs.x.com/llms.txt): Structured index + full Markdown docs for LLMs.
skill.md (https://docs.x.com/skill.md): agentskills.io spec — capabilities, actions, params, constraints, workflows.
MCP Servers: XMCP (200+ endpoints as tools); Docs MCP.
xurl (https://github.com/xdevplatform/xurl): Official CLI with auto-auth and agent SKILL.md.
OpenAPI: https://api.x.com/2/openapi.json

Agent read order (mandatory for X work)

Vendored snapshot in your project (e.g. .agents/x-resources/skill.md) — read first.
This skill — integration patterns for your app.
Live https://docs.x.com/... if behavior disagrees with snapshot — refresh vendored copy.

Integration Principles

Ingest for Intelligence: LLM calls include relevant excerpts from X skill.md + llms context.
MCP for Composability: Expose app functions (search, analyze, prep, promote) as MCP tools; use XMCP for direct X ops when richer than a custom client.
xurl for UX & Fallback: Shell to xurl for ad-hoc or as reference implementation.
Follow the Spec: Publish your own SKILL.md compatible with agentskills.io.
Self-Guards Apply: MCP tool calls respect the same guards/pauses as the UI.

Implementation Patterns

At startup / refresh: Load vendored X resources; copy to app data in production if needed.
Backend client: Validate/build queries using skill.md knowledge; prefix prompts with current capabilities excerpt.
MCP Server: Tools like search_x_opportunities, analyze_and_decide, generate_prep_with_guards, promote_with_preview.
UI: Command palette maps 1:1 to MCP tools.
Prompt library: Central file combining X skill + CV packet + app state.
Testing: bdd-strategizer for guard scenarios (429, low rate, pause).

Guardrails

Never assume X API behavior not in current skill.md/llms.
Writes (posts, DMs): always guard + user pause.
Rate limits: surface from headers; backoff in reactor.
Auth: secure OS keyring or encrypted store — never hardcode tokens.

finder-reactor, tauri-agentic, ai-optimization, fusion-sage.

Official: https://docs.x.com/tools/ai

Example provenance: collab-finder.